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Diffstat (limited to 'runtimes/tests/neural_networks_test/generated/models/l2_pool_float_large.model.cpp')
-rw-r--r--runtimes/tests/neural_networks_test/generated/models/l2_pool_float_large.model.cpp39
1 files changed, 0 insertions, 39 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float_large.model.cpp b/runtimes/tests/neural_networks_test/generated/models/l2_pool_float_large.model.cpp
deleted file mode 100644
index 9c3c562c3..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/l2_pool_float_large.model.cpp
+++ /dev/null
@@ -1,39 +0,0 @@
-// Generated file (from: l2_pool_float_large.mod.py). Do not edit
-void CreateModel(Model *model) {
- OperandType type1(Type::INT32, {});
- OperandType type2(Type::TENSOR_FLOAT32, {1, 1, 1, 3});
- OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 3});
- // Phase 1, operands
- auto op1 = model->addOperand(&type0);
- auto filter_width = model->addOperand(&type1);
- auto filter_height = model->addOperand(&type1);
- auto stride_width = model->addOperand(&type1);
- auto stride_height = model->addOperand(&type1);
- auto pad0 = model->addOperand(&type1);
- auto act = model->addOperand(&type1);
- auto op3 = model->addOperand(&type2);
- // Phase 2, operations
- static int32_t filter_width_init[] = {2};
- model->setOperandValue(filter_width, filter_width_init, sizeof(int32_t) * 1);
- static int32_t filter_height_init[] = {2};
- model->setOperandValue(filter_height, filter_height_init, sizeof(int32_t) * 1);
- static int32_t stride_width_init[] = {1};
- model->setOperandValue(stride_width, stride_width_init, sizeof(int32_t) * 1);
- static int32_t stride_height_init[] = {1};
- model->setOperandValue(stride_height, stride_height_init, sizeof(int32_t) * 1);
- static int32_t pad0_init[] = {0};
- model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
- static int32_t act_init[] = {0};
- model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
- model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, stride_width, stride_height, filter_width, filter_height, act}, {op3});
- // Phase 3, inputs and outputs
- model->identifyInputsAndOutputs(
- {op1},
- {op3});
- assert(model->isValid());
-}
-
-bool is_ignored(int i) {
- static std::set<int> ignore = {};
- return ignore.find(i) != ignore.end();
-}